Return
ExPart3D : Exclusive part aggregation for zero-shot point cloud learning
DOI:10.1016/j.eswa.2026.132370.png)
Abstract
En 中文
• Novel framework discovers exclusive object parts for 3D point cloud ZSL. • Effective dual-branch aggregation: pooling-based and graph-based methods. • Achieves state-of-the-art on ModelNet40, McGill, and ScanObjectNN datasets.
Keywords:
ExPart3D
zero-shot learning
3D point cloud
object parts
dual-branch aggregation
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W

